ImageNet Classification with Deep Convolutional Neural Networks
A deep convolutional network demonstrated how data, GPU computation and learned representations could transform visual recognition.
THE RESEARCH ATLAS
Denoising Diffusion Probabilistic Models
A generative model learns to reverse a gradual noise process, establishing an influential approach to image synthesis.
Institution and location sources
Location refers to credited institutions or the listed organization, not author citizenship or an exhaustive collaboration list.
Why read this
Connect the denoising objective to sampling, then follow the idea into image generation and robot policies.
Citation
@misc{ho2020denoising,
title = {Denoising Diffusion Probabilistic Models},
author = {Jonathan Ho and Ajay Jain and Pieter Abbeel},
year = {2020},
eprint = {2006.11239},
archivePrefix = {arXiv},
primaryClass = {cs.LG},
url = {https://arxiv.org/abs/2006.11239}
}Rights remain with the original authors. Refer to the original source for citations and licensing.
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